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Open nowPosted 16 days ago

AI数据运营（PGC方向） - TikTok

ByteDance19,207 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen nowAI数据运营（PGC方向） - TikTokByteDance · Shanghai, Chinese Mainland

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ByteDance's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. ByteDance postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: posted 16 days ago

ByteDance median: 2 days open

The posting

团队介绍：TikTok是一个覆盖150个国家和地区的国际短视频平台，我们希望通过TikTok发现真实、有趣的瞬间，让生活更美好。TikTok在全球各地设有办公室，全球总部位于洛杉矶和新加坡，办公地点还包括纽约、伦敦、都柏林、巴黎、柏林、迪拜、雅加达、首尔和东京等多个城市。

TikTok ADSO（AI Data Service and Operations）团队负责支撑AI 模型训练、评估与优化的核心数据服务与运营。通过构建高质量、标准化的数据生产体系，以及建立全球化的精益运营模式，为TikTok产品各类 AI 能力的迭代提供稳定、规模化、高性价比的数据支持，推动 AI 技术在复杂业务场景中的深度落地。

加入我们，在真实的全球化 AI 业务中快速成长。你将与顶尖的算法、产品、工程团队协作，在实战中理解 AI 如何真正落地。

1、业务需求与模型任务设计：作为业务、算法与数据交付团队的主要接口人，将内容理解、分类和质量判断等需求转化为清晰的标注与评测任务，明确标签体系、判定标准、验收指标及交付优先级，为模型训练、评估和业务策略迭代提供高质量数据与反馈； 2、数据与评测标准建设：围绕不同内容类型、语言和典型难例，组织样本与评测集建设，建立标准校准、人工复核和争议样本处理机制；持续完善标签定义、边界案例和操作规范，提升内容判断的一致性与评测覆盖度； 3、大模型与自动化应用：识别内容分类、辅助标注、质量检查和问题归因中的自动化机会，设计并验证Prompt或Agent工作流；基于评测结果优化任务拆解、上下文和人工介入策略，推动有效方案接入交付流程； 4、模型效果监控与问题闭环：结合验证集、抽样数据和业务反馈，监控准确率、召回率、标注一致性等适用指标，开展误差分析与根因分析，区分标准歧义、数据覆盖、执行偏差和模型能力问题；协同算法、产品及工程团队完成优化验证与效果复查； 5、端到端交付与风险管理：负责项目从需求评估、试点验证到规模化交付的全过程，协调QA、供应商和业务团队，制定产能、质量与时效计划，跟踪服务水平协议（SLA）达成情况；及时处理需求变更、质量波动和交付风险，并推动改进措施落地； 6、运营机制与能力复用：基于数据持续评估质量、效率和交付成本，推动分析看板、工具和流程优化；沉淀可复用的评测集建设方法、标签规范、自动化工作流和项目复盘结论，提升多项目、多市场的交付能力。

1、本科学历及以上，3年及以上AI数据运营、内容理解或评测、数据标注、策略运营数据运营工作经验；能够独立推进跨团队项目，并对交付质量与结果负责； 2、理解内容分类、标签体系和内容质量评估的基本方法，能够将业务中的模糊判断转化为可执行、可校准的标准，并通过样本分析识别标准边界和覆盖缺口； 3、理解大模型的典型应用与能力边界，具备Prompt设计或Agent工作流实践经验；能够说明具体业务问题、方案设计、验证方法及改进效果； 4、熟练使用SQL，具备指标设计、样本分析及根因分析能力，能根据数据诊断问题，并将结论转化为可执行的优化方案； 5、具备良好的项目推进、优先级判断和跨团队沟通能力，能够协同算法、产品、工程、QA及供应商，处理多项目并行和需求变化； 6、中文沟通及书面表达清晰，英语可作为工作语言，能够开展跨区域会议、需求对齐和文档协作。

加分项 1、具有PGC、媒体、短视频或其他内容密集型产品的数据运营、内容分类、标签体系或模型评测经验； 2、具有多模态内容理解、多语言评测或复杂标签体系建设经验； 3、具有机器标注、人机协同质检或自动化评测项目经验，能够提供质量、效率或成本改善的实际案例。

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